CN106598116A - Anti-condensation control method for power equipment box - Google Patents
Anti-condensation control method for power equipment box Download PDFInfo
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- CN106598116A CN106598116A CN201611042391.9A CN201611042391A CN106598116A CN 106598116 A CN106598116 A CN 106598116A CN 201611042391 A CN201611042391 A CN 201611042391A CN 106598116 A CN106598116 A CN 106598116A
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000009833 condensation Methods 0.000 title claims abstract description 35
- 230000008859 change Effects 0.000 claims abstract description 29
- 230000005494 condensation Effects 0.000 claims abstract description 27
- 230000002265 prevention Effects 0.000 claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims description 10
- 238000013139 quantization Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 4
- 238000007791 dehumidification Methods 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 2
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- 230000009471 action Effects 0.000 description 2
- 230000033228 biological regulation Effects 0.000 description 2
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
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Abstract
The invention provides an anti-condensation control method for a power equipment cabinet, which monitors the temperature and humidity inside and outside the power equipment cabinet in real time; the method comprises the steps of judging the situation of the external environment temperature in different regions to obtain a current temperature error e and a current temperature error change ec, obtaining a corresponding fuzzy set of delta Kp, delta Ki and delta Kd and Kp, Ki and Kd values after fuzzy and calculation processing, and calculating and obtaining PID control parameters to control a heater according to the Kp, Ki and Kd values so as to keep the difference value between the current cabinet internal temperature T2 and the cabinet external temperature T1 within a preset range. The embodiment of the invention has the advantages of good condensation prevention effect, easy modification, upgrade and maintenance and the like.
Description
Technical field
The present invention relates to the anti-condensation technical field of power equipment, and in particular to a kind of anti-condensation controlling party of power equipment case
Method.
Background technology
In some regional (such as subtropical monsoon climate districts), at the end of spring and the beginning of summer air humidity is higher, due to setting in transformer station
In standby casing, humidity is high, is susceptible to dew condensation phenomenon, and especially this phenomenon easily occurs in Outdoor Terminal Case.If due to closure
The reason such as imprecision, temperature humidity control measure are not appropriate, tends to produce dew condensation phenomenon in casing, so as to cause climb electricity,
Flashover fault, or even sometimes because short circuit causes terminal box to catch fire, therefore condensation problem is extremely important in solution casing.
In the prior art, generally dehumidified and two methods of semi-conductor type dehumidifying using hot type using in cabinet, both
Method has obvious defect, and effect on moisture extraction is difficult to meet demand.Technical renewal transformation is additionally carried out, is needed to existing equipment
Integral replacing, needs primary equipment to have a power failure, and re-starts secondary connection, and transformation mistiming is touched, mis-wired risk is larger.
The content of the invention
The technical problem to be solved is, there is provided a power equipment case condensation prevention control method, anti-condensation effect
It is really good, and it is easy to transformation.
To solve above-mentioned technical problem, the embodiment of the present invention provides a kind of power equipment case condensation prevention control method, including
Following steps：
In-cabinet temperature T2, cabinet outer temperature T1 and the cabinet endogenous dampness of power equipment case are obtained in real time at least by various induction apparatuss
Degree H2；
By stages judges the situation residing for ambient temperature, calculates and obtains according to the in-cabinet temperature T2, outer temperature T1 of cabinet
Obtain temperature error e currently and temperature error change ec；
Fuzzy processing is carried out to temperature error e and temperature error change ec, the temperature error e correspondence is obtained
Fuzzy set E and temperature error change corresponding fuzzy sets EC of ec, wherein the fuzzy set be honest PB, center PM, just little PS,
One of zero Z, negative little NS, negative middle NM and negative big ND；
According to temperature error fuzzy set E and temperature error change fuzzy set EC, the △ Kp rules for previously generating are inquired about
Table, △ Ki rule tables, △ Kd rule tables, obtain △ Kp, △ Ki, the fuzzy set of △ Kd, the △ Kp, △ Ki, △ Kd it is fuzzy
Collect for honest PB, center PM, just little PS, zero Z, negative little NS, negative middle NM and bear one of big ND；
De-fuzzy calculating acquisition Kp, Ki, Kd value is carried out according to the fuzzy set of the △ Kp, △ Ki, △ Kd；
According to Kp, Ki, Kd value, calculate and obtain pid control parameter, heater is entered according to the pid control parameter
Row control, is maintained within a predetermined range current in-cabinet temperature T2 and the difference of outer temperature T1 of cabinet；
When humidity H2 starts threshold value more than one in the current cabinet, control compressor start is carried out at dehumidifying to terminal box inside
Reason.
Wherein, Fuzzy processing is carried out to temperature error e and temperature error change ec, obtains the temperature error
The step of corresponding fuzzy sets E of e and temperature error change ec corresponding fuzzy sets EC, is specially：
According to the relation between the actual domain and fuzzy domain of temperature error e, input quantizing factor ke is obtained, by temperature
The actual value of error e is multiplied by the input quantizing factor ke, obtains the quantization input value of temperature error e, and carries out at obfuscation
Reason, obtains corresponding fuzzy set E；
The relation changed according to temperature error between the actual domain and fuzzy domain of ec, obtains input quantizing factor kec,
The actual value that temperature error changes ec is multiplied by into the input quantizing factor kec, the quantization input of temperature error change ec is obtained
Value, and Fuzzy processing is carried out, obtain corresponding fuzzy set EC.
Wherein, the Fuzzy processing that carries out is specially：
The membership function of the fuzzy subset according to corresponding to temperature error e, obtains corresponding fuzzy set E；Or
The membership function of the fuzzy subset according to corresponding to temperature error ec, obtains corresponding fuzzy set EC；
Wherein, the membership function is trigonometric function or Gauss membership function.
Wherein, the step of previously generating △ Kp rule tables, △ Ki rule tables, △ Kd rule tables is further included, wherein, E,
There are following mapping relations in EC, △ Kp, △ Ki, △ Kd：
E×EC→ΔKp×ΔKi×ΔKd
It is in the △ Kp rule tables, △ Ki rule tables, △ Kd rule tables, corresponding to each domain value of E and EC, described
△ Kp, △ Ki, △ Kd are respectively provided with the domain value of a determination.
Wherein, the step that de-fuzzy calculates acquisition Kp, Ki, Kd value is carried out according to the fuzzy set of the △ Kp, △ Ki, △ Kd
It is rapid to be specially：
De-fuzzy process is carried out to the fuzzy set of the △ Kp, △ Ki, △ Kd, corresponding domain value is obtained；
The △ Kp, △ Ki, the corresponding domain values of △ Kd are multiplied by into the quantizing factor of output variable, Kp, Ki, Kd is obtained
Value, the output quantization factor are drawn according to △ Kp, the relation between △ Ki, the actual domain of △ Kd and fuzzy domain.
Wherein, the startup threshold value is 50%, and the preset range is ± 3 DEG C.
Implement the present invention, have the advantages that：
A kind of embodiment of the present invention, there is provided power equipment case condensation prevention control method, can pass through fuzzy control method
Make power equipment case inside and outside temperature difference be maintained in predetermined scope, dehumidifier process is carried out in combination with humidity in cabinet, can be very
The generation of condensation is prevented well, while reducing the quantities and transformation risk of casing transformation, is easy to safeguard.
Description of the drawings
Fig. 1 is that a kind of main flow of the one embodiment for power equipment case condensation prevention control method that the present invention is provided is illustrated
Figure；
Fig. 2 shows the PID Principles of Regulation figures adopted by the inventive method；
Fig. 3 shows the corresponding membership function schematic diagram of temperature error e in one embodiment of Fig. 1；
Fig. 4 is the corresponding form of membership function in Fig. 3；
Fig. 5 shows the corresponding membership function schematic diagrams of temperature error change ec in one embodiment of Fig. 1；
Fig. 6 is the corresponding form of membership function in Fig. 5；
Fig. 7 shows the schematic diagram of a △ Kp rule table；
Fig. 8 shows the schematic diagram of a △ Ki rule table；
Fig. 9 shows the schematic diagram of a △ Kd rule table；
Figure 10 shows a kind of detailed process schematic diagram of one embodiment of power equipment case condensation prevention control method.
Specific embodiment
It is following to combine accompanying drawing the present invention is described in detail.
As shown in figure 1, showing a kind of one embodiment of power equipment case condensation prevention control method of present invention offer
Main flow schematic diagram.Please in the lump with reference to shown in Fig. 2 to Fig. 9, in this embodiment, the power equipment case condensation prevention control method
Comprise the steps：
Step S10, is obtained in the cabinet of terminal box respectively in real time by the temperature inductor being arranged inside and outside power equipment case
Outer temperature T1 of temperature T2, cabinet；Humidity H2 in cabinet is obtained by temperature inductor；
Step S11, by stages judge the situation residing for ambient temperature, according to the in-cabinet temperature T2, the outer temperature of cabinet
T1 calculates current temperature error e of acquisition and temperature error change ec, wherein, it is outside in-cabinet temperature T2 and cabinet that temperature closes e by mistake
The difference of temperature T1, temperature error change ec are the changing value between the e of the e and last time measurement acquisition for this time obtaining；
It is shown in Figure 2, show the PID Principles of Regulation figures adopted by this method；Wherein, what this method was adopted is fuzzy
The input of self adjusting PID algorithm only has two, the change of error and error.System is obscured certainly by adding before PID control
Tri- parameters of PID of adjusting (scale parameter Kp, integral parameter Ki, differential parameter Kd), last three Parameters variation amounts are added to just
On the basis of value.
In the method for the invention, need to judge ambient temperature rise, decline, it is steady, then by anti-condensation temperature
Degree condition carries out action.It is understood that significantly lowering the temperature under environment or low temperature environment, electric in-cabinet temperature is higher than cabinet
Condensation can be produced if outer, and under significantly elevated temp or hot environment, meeting if electric in-cabinet temperature is outer less than cabinet
Produce condensation.Therefore when ambient temperature rises (or condition of high temperature), typically require that in-cabinet temperature is higher than can just to prevent outside cabinet
The only appearance of condensation；And work as ambient temperature and decline that (or low temperature state typically requires that in-cabinet temperature just may be used less than the outer temperature of cabinet
Prevent the appearance of condensation.Therefore for different environment, calculate in different ways and obtain current temperature error and temperature
Error change, the step being specifically referred in Figure 10.
Step S12, carries out Fuzzy processing to temperature error e and temperature error change ec, obtains the temperature
Corresponding fuzzy set E of error e and corresponding fuzzy sets EC of temperature error change ec, wherein the fuzzy set is honest PB, center
One of PM, just little PS, zero Z, negative little NS, negative middle NM and negative big ND；
Specifically, including：According to the relation between the actual domain and fuzzy domain of temperature error e, obtain input and quantify
The actual value of temperature error e is multiplied by the input quantizing factor ke by factor ke, obtains the quantization input value of temperature error e, and
Fuzzy processing is carried out, corresponding fuzzy set E is obtained；For example, actual domain e ∈ [- 10,10] in one example, obscure domain e
∈ [- 3,3], then input now most change factor ke for 0.3.
The relation changed according to temperature error between the actual domain and fuzzy domain of ec, obtains input quantizing factor kec,
The actual value that temperature error changes ec is multiplied by into the input quantizing factor kec, the quantization input of temperature error change ec is obtained
Value, and Fuzzy processing is carried out, corresponding fuzzy set EC is obtained, for example, in one example, actual domain ec ∈ [- 5,5], mould
Paste domain ec ∈ [- 3,3], then input now quantify because being 0.6.
The membership function of the fuzzy subset according to corresponding to temperature error e, obtains corresponding fuzzy set E；Or
The membership function of the fuzzy subset according to corresponding to temperature error ec, obtains corresponding fuzzy set EC；
Wherein, the membership function is trigonometric function or Gauss membership function, and such as Fig. 2 and Fig. 4 respectively illustrates temperature
The membership function corresponding to membership function and temperature error change ec corresponding to degree error e.
Step S13, according to temperature error fuzzy set E and temperature error change fuzzy set EC, what inquiry was previously generated
△ Kp rule tables, △ Ki rule tables, △ Kd rule tables, obtain △ Kp, △ Ki, the fuzzy set of △ Kd, the △ Kp, △ Ki, △
The fuzzy set of Kd is honest PB, center PM, just little PS, zero Z, negative little NS, negative middle NM and bears one of big ND；
The step of previously generating △ Kp rule tables, △ Ki rule tables, △ Kd rule tables is further included, wherein, E, EC, △
There are following mapping relations in Kp, △ Ki, △ Kd：
E×EC→ΔKp×ΔKi×ΔKd
It is in the △ Kp rule tables, △ Ki rule tables, △ Kd rule tables, corresponding to each domain value of E and EC, described
△ Kp, △ Ki, △ Kd are respectively provided with the domain value of a determination, and wherein △ Kp rules table, △ Ki rule tables, △ Kd rules table can be respectively
Referring to shown in Fig. 7, Fig. 8 and Fig. 9.
It is understood that in other examples, it is also possible to obtain Current Temperatures by way of calculating in real time
△ Kp, △ Ki corresponding to error ambiguity collection E and temperature error change fuzzy set EC, the fuzzy set of △ Kd.
It is understood that the fuzzy reasoning relation of the input composition of E, EC bis- is：
If E=A and EC=B, therefore Kx=C；Wherein, A, B, C are as honest PB, center PM, just little PS, zero Z, negative little
One of NS, negative middle NM and negative big ND；
Using mamdani computational methods, the rule table of △ Kp, △ ki, △ kd can be directly obtained.
For example, in one example, E and EC can be obtained by following modes to △ Kp just, △ Ki, △ Kd
Fuzzy set：
System ambiguous controller is that two inputs three are exported, its mapping relations：
E×EC→Kpf×Kif×Kdf
Wherein above-mentioned each parameter is the fuzzy quantity of correspondence output input.
Its fuzzy relation：
R=Yij[Ei×ECj×Kxij]
Formula：Kx is Kpf, Kif, Kdf.
The then membership function of R：
When e, ec input is blurred into fuzzy set E, EC, output fuzzy control quantity is Kx.Its fuzzy reasoning is：
Kx=(E × EC) × R
Therefore, the membership function of K is:
Step S14, carries out de-fuzzy calculating acquisition Kp, Ki, Kd value according to the fuzzy set of the △ Kp, △ Ki, △ Kd；
De-fuzzy process is carried out to the fuzzy set of the △ Kp, △ Ki, △ Kd, corresponding domain value is obtained；
The △ Kp, △ Ki, the corresponding domain values of △ Kd are multiplied by into the quantizing factor of output variable, Kp, Ki, Kd is obtained
Value, the output quantization factor are drawn according to △ Kp, the relation between △ Ki, the actual domain of △ Kd and fuzzy domain.
In one example, it is also possible to realize that by weighted mean method de-fuzzy is calculated, for example, can pass through following
Formula is calculated：
Wherein z is variable, is discussing domain integral.Kc is kp, ki, kd.
Step S15, according to Kp, Ki, Kd value, calculates and obtains pid control parameter, according to the pid control parameter pair
Heater is controlled, and current in-cabinet temperature T2 and the difference of outer temperature T1 of cabinet is maintained in preset range (such as ± 3 DEG C)；It is logical
Obtain current corresponding Kp, Ki, Kd value after constantly, the temperature that system can stably in regulator cubicle.Wherein, by Kp, Ki,
It is highly developed technology that Kd values are calculated and obtain pid control parameter, and here is not described in detail.
Step S16, when humidity H2 starts threshold value more than one in the current cabinet, control compressor start enters to terminal box inside
Row dehumidification treatments, in an example, the startup threshold value is 50%.
As dehumidifier dehumidification process is to reduce ambient temperature in cabinet, therefore the control of humidity and temperature can be produced
The effect that mutually monitoring affects.
Repeat abovementioned steps, it is possible to prevent from electric power box, producing condensation.
As shown in Figure 10, a kind of one embodiment of power equipment case condensation prevention control method of present invention offer is provided
Detailed process schematic diagram.In this embodiment, cabinet outer temperature T1, in-cabinet temperature T2 and in-cabinet temperature are obtained by sensor
Information such as H2, and calculate the outer temperature change △ T1 of acquisition cabinet, rise, decline so as to by stages judges ambient temperature, steadily,
Action is carried out by anti-condensation temperature conditionss again.
, wherein it is desired to reference to actual error amount and error change value through quantifying corresponding domain, this flow system temperature
Degree error e excursion is normally at 0 °～100 °, but works as | e |>When 10 °, existing PID control is directly used.As | e |<10°
When, pid parameter is obtained by fuzzy control Self-tuning System.When there is situation below, first error in judgement scope is needed；Wherein, T1,
T2, H1, H2 are respectively humidity in the outer temperature of cabinet, in-cabinet temperature, the outer humidity of cabinet, cabinet, and e (k) is kth time sampling error originated from input, ec
K () is kth time sampling error originated from input change.Then variation of ambient temperature is judged by algorithm, determines anti-condensation measure, because
Under cooling or low temperature environment and intensification or hot environment, using different computational methods, it is possible to obtain the value of e and ec, then
Carry out obfuscation, and carry out fuzzy tuning obtaining △ Kp, △ Ki, △ Kd to e and ek；Calculate and obtain according to the △ Kp, △ Ki, △ Kd
Corresponding kp, ki and kd value is obtained, so as to the output of Control PID, heater is adjusted；Being determined according to the value of H2 simultaneously is
It is no to need startup compressor to carry out dehumidifier process.
Implement the present invention, have the advantages that：
A kind of embodiment of the present invention, there is provided power equipment case condensation prevention control method, can pass through fuzzy control method
Make power equipment case inside and outside temperature difference be maintained in predetermined scope, dehumidifier process is carried out in combination with humidity in cabinet, can be very
The generation of condensation is prevented well, while reducing the quantities and transformation risk of casing transformation, is easy to safeguard.
Although the present invention is disclosed as above with preferred embodiment, they are not of the invention for limiting, any ripe
This those skilled in the art is practised, without departing from the spirit and scope of the invention, can be made various changes or be retouched from working as, therefore the guarantor of the present invention
Shield scope should be by being defined that claims hereof protection domain is defined.
Claims (6)
1. a kind of power equipment case condensation prevention control method, it is characterised in that comprise the steps：
In-cabinet temperature T2, cabinet outer temperature T1 and the cabinet of power equipment case in humidity is obtained in real time at least by various induction apparatuss
H2；
By stages judges the situation residing for ambient temperature, calculates and is worked as according to the in-cabinet temperature T2, outer temperature T1 of cabinet
Front temperature error e and temperature error change ec；
Fuzzy processing is carried out to temperature error e and temperature error change ec, the corresponding mould of temperature error e is obtained
Paste collection E and temperature error change corresponding fuzzy sets EC of ec, wherein the fuzzy set be honest PB, center PM, just little PS, zero Z,
Bear little NS, negative middle NM and bear one of big ND；
According to temperature error fuzzy set E and temperature error change fuzzy set EC, △ Kp rule tables, the △ for previously generating is inquired about
Ki rule tables, △ Kd rule tables, obtain △ Kp, △ Ki, the fuzzy set of △ Kd, and the △ Kp, △ Ki, the fuzzy set of △ Kd are for just
One of PB greatly, center PM, just little PS, zero Z, negative little NS, negative middle NM and negative big ND；
De-fuzzy calculating acquisition Kp, Ki, Kd value is carried out according to the fuzzy set of the △ Kp, △ Ki, △ Kd；
According to Kp, Ki, Kd value, calculate and obtain pid control parameter, heater is controlled according to the pid control parameter
System, is maintained within a predetermined range current in-cabinet temperature T2 and the difference of outer temperature T1 of cabinet；
When humidity H2 starts threshold value more than one in the current cabinet, control compressor start carries out dehumidification treatments to terminal box inside.
2. a kind of power equipment case condensation prevention control method as claimed in claim 1, it is characterised in that to the temperature error
E and temperature error change ec carry out Fuzzy processing, obtain corresponding fuzzy set E of temperature error e and temperature error becomes
The step of changing ec corresponding fuzzy sets EC is specially：
According to the relation between the actual domain and fuzzy domain of temperature error e, input quantizing factor ke is obtained, by temperature error
The actual value of e is multiplied by the input quantizing factor ke, obtains the quantization input value of temperature error e, and carries out Fuzzy processing, obtains
Obtain corresponding fuzzy set E；
The relation changed according to temperature error between the actual domain and fuzzy domain of ec, obtains input quantizing factor kec, by temperature
The actual value of degree error change ec is multiplied by the input quantizing factor kec, obtains the quantization input value that temperature error changes ec, and
Fuzzy processing is carried out, corresponding fuzzy set EC is obtained.
3. a kind of power equipment case condensation prevention control method as claimed in claim 1, it is characterised in that described to carry out obfuscation
Process is specially：
The membership function of the fuzzy subset according to corresponding to temperature error e, obtains corresponding fuzzy set E；Or
The membership function of the fuzzy subset according to corresponding to temperature error ec, obtains corresponding fuzzy set EC；
Wherein, the membership function is trigonometric function or Gauss membership function.
4. a kind of power equipment case condensation prevention control method as claimed in claim 3, it is characterised in that further include in advance
The step of generating △ Kp rule tables, △ Ki rule tables, △ Kd rule tables, wherein, E, EC, △ Kp, △ Ki, △ Kd exists following
Mapping relations：
E×EC→ΔKp×ΔKi×ΔKd
In the △ Kp rule tables, △ Ki rule tables, △ Kd rule tables, corresponding to each domain value of E and EC, the △
Kp, △ Ki, △ Kd is respectively provided with the domain value of a determination.
5. a kind of power equipment case condensation prevention control method as described in any one of Claims 1-4, it is characterised in that according to
The △ Kp, △ Ki, the fuzzy set of △ Kd carry out the step of de-fuzzy calculates acquisition Kp, Ki, Kd value and are specially：
De-fuzzy process is carried out to the fuzzy set of the △ Kp, △ Ki, △ Kd, corresponding domain value is obtained；
The △ Kp, △ Ki, the corresponding domain values of △ Kd are multiplied by into the quantizing factor of output variable, Kp, Ki, Kd value, institute is obtained
State the output quantization factor to draw according to △ Kp, the relation between △ Ki, the actual domain of △ Kd and fuzzy domain.
6. a kind of power equipment case condensation prevention control method as claimed in claim 5, it is characterised in that the startup threshold value is
50%, the preset range is ± 3 DEG C.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110006142A (en) * | 2019-03-22 | 2019-07-12 | 北京小米移动软件有限公司 | Constant-temperature control method, device, electronic equipment and storage medium |
| CN110707560A (en) * | 2019-09-02 | 2020-01-17 | 国网江西省电力有限公司电力科学研究院 | Closed box type equipment condensation preventing method and device based on temperature sensor |
| CN111562803A (en) * | 2020-06-12 | 2020-08-21 | 西安易朴通讯技术有限公司 | Electronic device, temperature controller, temperature control method, device, and storage medium |
| CN112556741A (en) * | 2020-11-26 | 2021-03-26 | 广西电网有限责任公司玉林供电局 | Accurate calibration system and method suitable for temperature and humidity sensor of transformer substation |
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